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Phase space analysis of sign-shifting interacting dark energy models

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arxiv 2403.01397 v1 pith:O4JBB3KW submitted 2024-03-03 gr-qc astro-ph.COmath-phmath.MP

classification gr-qcastro-ph.COmath-phmath.MP
keywords interactionbeendarkenergyinteractingfunctionsnatureshifting
verification ladder T0 review T1 audit T2 compute T3 formal
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The theory of non-gravitational interaction between a pressure-less dark matter (DM) and dark energy (DE) is a phenomenologically rich cosmological domain which has received magnificent attention in the community. In the present article we have considered some interacting scenarios with some novel features: the interaction functions do not depend on the external parameters of the universe, rather, they depend on the intrinsic nature of the dark components; the assumption of unidirectional flow of energy between DM and DE has been extended by allowing the possibility of bidirectional energy flow characterized by some sign shifting interaction functions; and the DE equation of state has been considered to be either constant or dynamical in nature. These altogether add new ingredients in this context, and, we performed the phase space analysis of each interacting scenario in order to understand their global behaviour. According to the existing records in the literature, this combined picture has not been reported elsewhere. From the analyses, we observed that the DE equation of state as well as the coupling parameter(s) of the interaction models can significantly affect the nature of the critical points. It has been found that within these proposed sign shifting interacting scenarios, it is possible to obtain stable late time attractors which may act as global attractors corresponding to an accelerating expansion of the universe. The overall outcomes of this study clearly highlight that the sign shifting interaction functions are quite appealing in the context of cosmological dynamics and they deserve further attention.

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Forward citations

Cited by 6 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Accelerating scaling solutions from dark matter particle creation

    gr-qc 2026-04 unverdicted novelty 5.0 of 10

    Accelerating scaling attractors without dark energy appear only when the interaction is controlled by DM density and energy flows from DM to a barotropic fluid.

  2. Robust Preference for Dark Sector Interactions

    astro-ph.CO 2026-01 conditional novelty 5.0 of 10

    Interacting dark matter–dark energy models fit DESI BAO and CMB data as well as evolving-dark-energy (CPL) models, with a coupling preference that persists under DES-Dovekie supernova recalibration.

  3. Sign Switching in Dark Sector Coupling Interactions as a Candidate for Resolving Cosmological Tensions

    astro-ph.CO 2025-01 conditional novelty 5.0 of 10

    A sign-switching dark-sector coupling, fitted to CMB, DESI BAO, and supernova data, can simultaneously raise H0 and lower S8, but the preference over LambdaCDM depends on using SH0ES-calibrated supernovae.

  4. Interacting phantom dark energy: new accelerating scaling attractors

    gr-qc 2024-11 conditional novelty 5.0 of 10

    Interacting phantom dark energy with two previously underused potentials admits new stable late-time accelerating solutions in which dark matter and dark energy coexist.

  5. Solving an Interacting Quintessence Model with a Sound Horizon Initial Condition and its Observational Constraints

    gr-qc 2025-07 conditional novelty 4.0 of 10

    An interacting quintessence model with initial conditions set by the CMB sound horizon angle increases H0 with coupling strength, but observational constraints show it does not resolve the H0 or S8 tensions.

  6. An overview of what current data can (and cannot yet) say about evolving dark energy

    astro-ph.CO 2025-02 conditional novelty 4.0 of 10

    The apparent preference for evolving dark energy depends strongly on which supernova catalog and which BAO survey are used, and is not robust across all independent data combinations.

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